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Machine learning

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Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.

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donnemartin / data-science-ipython-notebooks

Star 24.3k

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

python aws data-science machine-learning caffe theano big-data spark deep-learning hadoop tensorflow numpy scikit-learn keras pandas kaggle scipy matplotlib mapreduce
  • Updated Oct 12, 2022
  • Python

TheAlgorithms / C-Plus-Plus

Star 22.4k

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

search computer-science machine-learning algorithm algorithms cpp machine-learning-algorithms mathematics sort data-structures educational algorithm-competitions interview-questions hacktoberfest algorithms-implemented interview-preparation artificial-intelligence-algorithms instructor-materials
  • Updated Nov 29, 2022
  • C++
rasa

RasaHQ / rasa

Star 15.1k

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

nlp bot machine-learning natural-language-processing bots botkit chatbot bot-framework nlu spacy mitie chatbots machine-learning-library wit rasa conversational-agents conversational-bots chatbots-framework conversational-ai conversation-driven-development
  • Updated Nov 30, 2022
  • Python

TheAlgorithms / C

Star 15.1k

Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

c search computer-science education machine-learning algorithms datastructures machine-learning-algorithms mathematics interview sort learn-to-code data-structures educational algorithm-competitions interview-questions algorithm-challenges hacktoberfest community-driven
  • Updated Nov 29, 2022
  • C
annotated_deep_learning_paper_implementations

labmlai / annotated_deep_learning_paper_implementations

Sponsor
Star 14.9k

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

machine-learning reinforcement-learning deep-learning transformers pytorch transformer gan neural-networks attention deep-learning-tutorial optimizers
  • Updated Nov 13, 2022
  • Jupyter Notebook

EthicalML / awesome-production-machine-learning

Star 12.7k

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

machine-learning data-mining awesome deep-learning awesome-list interpretability privacy-preserving production-machine-learning mlops privacy-preserving-machine-learning explainability responsible-ai machine-learning-operations ml-ops ml-operations privacy-preserving-ml large-scale-ml production-ml large-scale-machine-learning
  • Updated Nov 23, 2022
nni

microsoft / nni

Star 12.3k

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

python data-science machine-learning deep-learning neural-network tensorflow machine-learning-algorithms pytorch distributed hyperparameter-optimization feature-engineering nas bayesian-optimization hyperparameter-tuning automl automated-machine-learning model-compression neural-architecture-search deep-neural-network mlops
  • Updated Nov 30, 2022
  • Python
albumentations

albumentations-team / albumentations

Sponsor
Star 11.2k

Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

python machine-learning deep-learning detection image-processing image-classification segmentation object-detection image-segmentation image-augmentation augmentation fast-augmentations
  • Updated Nov 24, 2022
  • Python

kmario23 / deep-learning-drizzle

Star 10.7k

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

machine-learning natural-language-processing deep-neural-networks reinforcement-learning computer-vision deep-learning optimization probability deep-reinforcement-learning medical-imaging speech-recognition artificial-neural-networks pattern-recognition probabilistic-graphical-models bayesian-statistics artificial-intelligence-algorithms visual-recognition geometric-deep-learning explainable-ai graph-neural-networks
  • Updated Apr 10, 2022
  • HTML
transferlearning

jindongwang / transferlearning

Star 10.6k

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

machine-learning deep-learning paper survey style-transfer theory transfer-learning papers representation-learning unsupervised-learning tutorial-code domain-adaptation generalization transferlearning meta-learning few-shot few-shot-learning self-supervised-learning domain-generalization domain-adaption
  • Updated Nov 25, 2022
  • Python

microsoft / qlib

Star 10k

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

python platform finance machine-learning research deep-learning paper fintech quant quantitative-finance investment stock-data algorithmic-trading research-paper quantitative-trading quant-dataset quant-models auto-quant
  • Updated Nov 29, 2022
  • Python

jacobgil / pytorch-grad-cam

Star 6.4k

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

machine-learning computer-vision deep-learning grad-cam pytorch image-classification object-detection visualizations interpretability class-activation-maps interpretable-deep-learning interpretable-ai explainable-ai explainable-ml xai score-cam vision-transformers
  • Updated Nov 18, 2022
  • Python
haystack

deepset-ai / haystack

Star 6.1k

🔍 Haystack is an open source NLP framework that leverages pre-trained Transformer models. It enables developers to quickly implement production-ready semantic search, question answering, summarization and document ranking for a wide range of NLP applications.

python nlp search-engine elasticsearch machine-learning natural-language-processing information-retrieval ai transformers pytorch question-answering summarization transfer-learning language-model semantic-search squad bert dpr neural-search
  • Updated Nov 29, 2022
  • Python

h2oai / h2o-3

Star 6.1k

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

python java data-science machine-learning opensource r big-data spark deep-learning hadoop random-forest gpu naive-bayes h2o distributed pca gbm ensemble-learning automl h2o-automl
  • Updated Nov 29, 2022
  • Jupyter Notebook

tangyudi / Ai-Learn

Star 5.6k

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

python nlp data-science machine-learning data-mining algorithm caffe deep-learning tensorflow numpy cv keras mathematics pandas pytorch seaborn artificial-intelligence data-analysis matplotlib tensorflow2
  • Updated Jun 23, 2022

py-why / dowhy

Star 5.4k

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

data-science machine-learning python3 graphical-models causality bayesian-networks causal-inference treatment-effects causal-models do-calculus causal-machine-learning
  • Updated Nov 29, 2022
  • Python
Learn-Data-Science-For-Free

therealsreehari / Learn-Data-Science-For-Free

Star 4.9k

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in Twitter.

data-science machine-learning natural-language-processing computer-vision machine-learning-algorithms artificial-intelligence neural-networks deeplearning datascienceproject
  • Updated Apr 2, 2021

cleanlab / cleanlab

Star 4.2k

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

data-science machine-learning text-classification exploratory-data-analysis weak-supervision classification image-classification audio-classification data-cleaning data-quality learning-with-confident-examples noisy-data confident-learning robust-machine-learning noisy-labels learning-with-noisy-labels label-errors data-centric-ai data-centric-machine-learning
  • Updated Nov 28, 2022
  • Python

BoltzmannEntropy / interviews.ai

Star 4.1k

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

python data-science machine-learning deep-learning information-theory jobs pytorch autograd artificial-intelligence feature-extraction ensemble-learning logistic-regression convolutional-neural-networks bayesian-statistics loss-functions interview-preparation pytorch-tutorial graduate-school jax
  • Updated Jan 21, 2022

ZhaoJ9014 / face.evoLVe

Star 3k

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

machine-learning computer-vision deep-learning pytorch artificial-intelligence feature-extraction supervised-learning face-recognition face-detection tencent transfer-learning nus convolutional-neural-network data-augmentation face-alignment imbalanced-learning model-training fine-tuning face-landmark-detection hard-negative-mining
  • Updated May 30, 2022
  • Python
igel

nidhaloff / igel

Sponsor
Star 3k

a delightful machine learning tool that allows you to train, test, and use models without writing code

data-science machine-learning automation neural-network scikit-learn sklearn machine-learning-algorithms artificial-intelligence neural-networks data-analysis machine-learning-library machinelearning preprocessing hacktoberfest automl scikitlearn-machine-learning automl-experiments hacktoberfest2021
  • Updated Feb 6, 2022
  • Python

ZhaoJ9014 / face.evoLVe

Star 3k

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

machine-learning computer-vision deep-learning pytorch artificial-intelligence feature-extraction supervised-learning face-recognition face-detection tencent transfer-learning nus convolutional-neural-network data-augmentation face-alignment imbalanced-learning model-training fine-tuning face-landmark-detection hard-negative-mining
  • Updated May 30, 2022
  • Python
igel

nidhaloff / igel

Sponsor
Star 3k

a delightful machine learning tool that allows you to train, test, and use models without writing code

data-science machine-learning automation neural-network scikit-learn sklearn machine-learning-algorithms artificial-intelligence neural-networks data-analysis machine-learning-library machinelearning preprocessing hacktoberfest automl scikitlearn-machine-learning automl-experiments hacktoberfest2021
  • Updated Feb 6, 2022
  • Python
flyte

flyteorg / flyte

Star 2.9k

Kubernetes-native workflow automation platform for complex, mission-critical data and ML processes at scale. It has been battle-tested at Lyft, Spotify, Freenome, and others and is truly open-source.

python kubernetes golang workflow data-science data machine-learning scale production declarative grpc dataops data-analysis kubernetes-operator hacktoberfest flyte mlops battle-tested production-grade orchestration-engine
  • Updated Nov 30, 2022
  • Python

timeseriesAI / tsai

Star 2.7k

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

python machine-learning timeseries deep-learning time-series regression cnn pytorch rocket transformer forecasting classification rnn sequential fastai time-series-analysis time-series-classification self-supervised state-of-the-art inceptiontime
  • Updated Nov 23, 2022
  • Jupyter Notebook
EconML

microsoft / EconML

Star 2.6k

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

machine-learning economics econometrics causality causal-inference treatment-effects
  • Updated Nov 21, 2022
  • Jupyter Notebook
mljar-supervised

mljar / mljar-supervised

Star 2.3k

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

data-science machine-learning neural-network random-forest scikit-learn xgboost hyperparameter-optimization lightgbm ensemble feature-engineering decision-tree hyper-parameters automl automated-machine-learning catboost automatic-machine-learning mljar shap tuning-algorithm models-tuning
  • Updated Nov 3, 2022
  • Python

Hedgehog-Computing / hedgehog-lab

Star 2.3k

Run, compile and execute JavaScript for Scientific Computing and Data Visualization TOTALLY TOTALLY TOTALLY in your BROWSER! An open source scientific computing environment for JavaScript TOTALLY in your browser, matrix operations with GPU acceleration, TeX support, data visualization and symbolic computation.

javascript tex webgl machine-learning latex computer-algebra data-visualization scientific-computing gpu-acceleration webgl2 symbolic-computation matrix-library
  • Updated Nov 29, 2022
  • TypeScript

FedML-AI / FedML

Star 2.3k

FedML - The federated learning and analytics library enabling secure and collaborative machine learning on decentralized data anywhere at any scale. Supporting large-scale cross-silo federated learning, cross-device federated learning on smartphones/IoTs, and research simulation. MLOps and App Marketplace are also enabled (https://open.fedml.ai).

security machine-learning marketplace privacy deep-learning blockchain inference-engine distributed-training federated-learning mlops edge-ai on-device-training
  • Updated Nov 29, 2022
  • Python

weslynn / AlphaTree-graphic-deep-neural-network

Star 2.3k

AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源码（python，pytorch）带大家消化基本知识点，突破面试，完成从新手到合格工程师的跨越，其中深度学习相关论文附有tensorflow caffe官方源码，应用部分含推荐算法和知识图谱

machine-learning deep-learning neural-network image-classification
  • Updated Sep 30, 2022

louisfb01 / Best_AI_paper_2020

Sponsor
Star 2.2k

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

list machine-learning deep-neural-networks ai computer-vision deep-learning paper artificial-intelligence machinelearning deeplearning papers sota state-of-art state-of-the-art artificialintelligence 2020 state-of-art-general-segmentation state-of-the-art-models sota-technique paper-references
  • Updated Jan 28, 2022

krishnakumarsekar / awesome-quantum-machine-learning

Star 2.1k

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

machine-learning awesome ai qml tensorflow quantum machine-learning-algorithms artificial-intelligence quantum-computing artificial-neural-networks awesome-list fcm kmeans ant-colony-optimization quantum-programming-language hmm-model qubits knn-classification quantum-ai
  • Updated Feb 28, 2022
  • HTML

salesforce / TransmogrifAI

Star 2.1k

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

machine-learning scala ai spark dsl transformations ml transformers estimators sparkml pipelines salesforce structured-data feature-engineering features einstein automl automated-machine-learning transmogrification transmogrify
  • Updated Feb 24, 2022
  • Scala
awesome-decision-tree-papers

benedekrozemberczki / awesome-decision-tree-papers

Sponsor
Star 2.1k

A collection of research papers on decision, classification and regression trees with implementations.

classifier machine-learning random-forest statistical-learning xgboost lightgbm gradient-boosting-machine ensemble-learning cart decision-tree tree-ensemble decision-tree-classifier gradient-boosting classification-trees decision-tree-learning decision-tree-model classification-model catboost regression-tree machine-learning-research
  • Updated Nov 6, 2022
  • Python

google-research-datasets / Objectron

Star 2k

Objectron is a dataset of short, object-centric video clips. In addition, the videos also contain AR session metadata including camera poses, sparse point-clouds and planes. In each video, the camera moves around and above the object and captures it from different views. Each object is annotated with a 3D bounding box. The 3D bounding box describes the object’s position, orientation, and dimensions. The dataset contains about 15K annotated video clips and 4M annotated images in the following categories: bikes, books, bottles, cameras, cereal boxes, chairs, cups, laptops, and shoes

python machine-learning ai computer-vision deep-learning neural-network tensorflow augmented-reality pytorch dataset 3d 3d-reconstruction 3d-vision
  • Updated Jul 20, 2022
  • Jupyter Notebook

dipanjanS / practical-machine-learning-with-python

Star 2k

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

python machine-learning natural-language-processing computer-vision deep-learning jupyter notebook clustering tensorflow scikit-learn keras jupyter-notebook pandas spacy nltk classification convolutional-neural-networks prophet statsmodels time-series-analysis
  • Updated Oct 1, 2020
  • Jupyter Notebook

Trusted-AI / AIF360

Star 1.9k

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

python machine-learning r ai deep-learning artificial-intelligence bias fairness bias-finder ibm-research discrimination bias-correction ibm-research-ai bias-reduction fairness-testing bias-detection codait fairness-awareness-model fairness-ai trusted-ai
  • Updated Nov 19, 2022
  • Python

Charmve / computer-vision-in-action

Star 1.8k

学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页

machine-learning tutorial books computer-vision deep-learning neural-network notebook jupyter-notebook handbook pytorch transformer ipynb deep-learning-tutorial computer-vision-algorithms colab-notebook in-action charmve
  • Updated Nov 21, 2022
  • Jupyter Notebook

curiousily / Getting-Things-Done-with-Pytorch

Sponsor
Star 1.8k

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

nlp machine-learning tutorial computer-vision deep-learning time-series sentiment-analysis pytorch transformer lstm yolo face-recognition face-detection object-detection transfer-learning bert anomaly-detection time-series-forecasting coronavirus time-series-anomaly-detection
  • Updated Jun 14, 2021
  • Jupyter Notebook

UniversalDataTool / universal-data-tool

Star 1.7k

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

machine-learning csv computer-vision deep-learning image-annotation desktop dataset named-entity-recognition classification labeling image-segmentation hacktoberfest semantic-segmentation annotation-tool text-annotation labeling-tool entity-recognition annotate-images image-labeling-tool text-labeling
  • Updated May 3, 2022
  • JavaScript

teddylee777 / machine-learning

Star 1.7k

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

python machine-learning natural-language-processing lectures udacity deep-learning neural-network tensorflow jupyter-notebook pandas python3 pytorch gan neural-networks tensorflow-tutorials tensorflow-examples pandas-tutorial pytorch-tutorial machine-learning-study tensorflow2
  • Updated Nov 21, 2022
  • Jupyter Notebook
DataFrame

hosseinmoein / DataFrame

Sponsor
Star 1.7k

C++ DataFrame for statistical, Financial, and ML analysis -- in modern C++ using native types and contiguous memory storage

data-science machine-learning cpp statistical-analysis data-analysis tensorboard trading-strategies trading-algorithms tensor statistical dataframe numerical-analysis efficient-implementations financial-engineering multidimensional-data heterogeneous-data financial-data-analysis large-data
  • Updated Nov 29, 2022
  • C++

bjoernkarmann / project_alias

Star 1.6k

Alias is a teachable “parasite” that is designed to give users more control over their smart assistants, both when it comes to customisation and privacy. Through a simple app the user can train Alias to react on a custom wake-word/sound, and once trained, Alias can take control over your home assistant by activating it for you.

raspberry-pi machine-learning hack smarthome microphone speech-recognition classification alias sound-synthesis wakeword
  • Updated Apr 5, 2020
  • Python
pennylane

PennyLaneAI / pennylane

Star 1.6k

PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.

python machine-learning deep-learning neural-network qml tensorflow optimization quantum differentiable-computing automatic-differentiation pytorch autograd quantum-computing quantum-chemistry hacktoberfest quantum-machine-learning qiskit jax cirq strawberryfields
  • Updated Nov 30, 2022
  • Python

chaoyanghe / Awesome-Federated-Learning

Star 1.6k

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

machine-learning privacy computer-vision semi-supervised-learning transfer-learning wireless-communication distributed-optimization interpretability neural-architecture-search federated-learning continual-learning vertical-federated-learning non-iid decentralized-federated-learning hierarchical-federated-learning adversarial-attack-and-defense communication-efficiency straggler-problem computation-efficiency incentive-mechanism
  • Updated Sep 3, 2022
argilla

argilla-io / argilla

Star 1.4k

✨ Open-source tool for data-centric NLP. Argilla helps domain experts and data teams to build better NLP datasets in less time.

python nlp data-science machine-learning natural-language-processing text-classification artificial-intelligence weak-supervision spacy knowledge-graph dataops developer-tools hacktoberfest active-learning annotation-tool text-annotation weakly-supervised-learning human-in-the-loop mlops text-labeling
  • Updated Nov 29, 2022
  • Python

rorysroes / SGX-Full-OrderBook-Tick-Data-Trading-Strategy

Star 1.3k

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

python machine-learning trading feature-selection model-selection quant trading-strategies investment market-maker feature-engineering algorithmic-trading backtesting-trading-strategies limit-order-book quantitative-trading orderbook market-microstructure high-frequency-trading market-making orderbook-tick-data
  • Updated Aug 27, 2022
  • Jupyter Notebook
AdvBox

advboxes / AdvBox

Star 1.3k

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

security machine-learning deep-learning paddlepaddle adversarial-example adversarial-examples onnx fgsm adversarial-attacks deepfool graphpipe
  • Updated Nov 22, 2022
  • Jupyter Notebook
nannyml

NannyML / nannyml

Star 1.3k

Detecting silent model failure. NannyML estimates performance for regression and classification models using tabular data. It alerts you when and why it changed. It is the only open-source library capable of fully capturing the impact of data drift on performance.

visualization python data-science machine-learning monitoring deep-learning jupyter-notebook ml data-analysis machinelearning performance-monitoring mlops model-monitoring data-drift
  • Updated Nov 30, 2022
  • Python

huoyijie / AdvancedEAST

Star 1.2k

AdvancedEAST is an algorithm used for Scene image text detect, which is primarily based on EAST, and the significant improvement was also made, which make long text predictions more accurate.https://github.com/huoyijie/raspberrypi-car

python machine-learning algorithm computer-vision deep-learning tensorflow keras scene tianchi east bellow tian-chi icpr text-detect advancedeast advancedeast-network-arch text-predictions
  • Updated Sep 9, 2022
  • Python

ahmetozlu / tensorflow_object_counting_api

Star 1.2k

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

opencv data-science machine-learning deep-neural-networks computer-vision deep-learning tensorflow image-processing object-detection vehicle-counting object-detection-pipelines shelf-navigation tensorflow-object-detection-api object-detection-label tensorflow-api object-detection-api object-counting object-counting-api pedestrian-counting shelf-management
  • Updated Sep 12, 2021
  • Python

neomatrix369 / awesome-ai-ml-dl

Sponsor
Star 1.1k

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

nlp docker data machine-learning natural-language-processing ai deep-learning time-series algorithms mathematica ml artificial-intelligence neural-networks data-generation graalvm graal intelligent-systems dl machine-intelligence cloud-devops
  • Updated Aug 18, 2022
  • Jupyter Notebook

benthecoder / yt-channels-DS-AI-ML-CS

Star 1.1k

A comprehensive list of 180+ YouTube Channels for Data Science, Data Engineering, Machine Learning, Deep learning, Computer Science, programming, software engineering, etc.

python data-science data machine-learning youtube awesome statistics web-development programming ai deep-learning math ml resources artificial-intelligence data-engineering coding data-analysis software-engineering awesome-list
  • Updated Sep 23, 2022

LiYangHart / Hyperparameter-Optimization-of-Machine-Learning-Algorithms

Star 1.1k

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

machine-learning deep-learning random-forest optimization svm genetic-algorithm machine-learning-algorithms hyperparameter-optimization artificial-neural-networks grid-search tuning-parameters knn bayesian-optimization hyperparameter-tuning random-search particle-swarm-optimization hpo python-examples python-samples hyperband
  • Updated Sep 22, 2022
  • Jupyter Notebook
refinery

code-kern-ai / refinery

Star 1k

The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.

python nlp data-science machine-learning natural-language-processing deep-learning text-classification annotations transformers artificial-intelligence spacy supervised-learning labeling active-learning text-annotation human-in-the-loop labeling-tool data-labeling neural-search data-centric-ai
  • Updated Nov 21, 2022
  • Python

alan-turing-institute / CleverCSV

Star 1k

CleverCSV is a Python package for handling messy CSV files. It provides a drop-in replacement for the builtin CSV module with improved dialect detection, and comes with a handy command line application for working with CSV files.

python csv-converter data-science machine-learning data-mining csv csv-files python-library python3 datascience csv-format data-analysis csv-reading csv-parser csv-reader csv-export csv-import csv-parsing
  • Updated Nov 23, 2022
  • Python

KomputeProject / kompute

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General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.

python machine-learning deep-learning cpp vulkan gpgpu gpu-computing vulkan-demos deep-learning-gpu vulkan-compute vulkan-tutorial vulkan-example vulkan-compute-tutorial vulkan-compute-framework vulkan-compute-example machine-learning-gpu
  • Updated Nov 27, 2022
  • C++

jiachenli94 / Awesome-Interaction-Aware-Trajectory-Prediction

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A selection of state-of-the-art research materials on trajectory prediction

machine-learning computer-vision deep-learning paper traffic artificial-intelligence trajectory-generation social-interactions multiagent-systems behavior-analysis autonomous-driving autonomous-vehicles trajectory-prediction multiagent-learning human-trajectory-prediction motion-prediction behavior-prediction path-predictions vehicle-trajectory pedestrian-trajectories
  • Updated Oct 13, 2022
  • TeX

letianzj / QuantResearch

Star 997

Quantitative analysis, strategies and backtests

data-science machine-learning reinforcement-learning deep-learning algotrading trading-strategies trading-algorithms quantitative-finance financial-analysis algorithmic-trading backtesting-trading-strategies asset-allocation quantitative-trading pairs-trading risk-management asset-management statistical-arbitrage portfolio-management derivatives-pricing backtests
  • Updated Jul 29, 2022
  • Jupyter Notebook
Gradient-Free-Optimizers

SimonBlanke / Gradient-Free-Optimizers

Star 965

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

machine-learning optimization constrained-optimization hyperparameter-optimization meta-heuristic simulated-annealing hill-climbing bayesian-optimization nelder-mead random-search particle-swarm-optimization evolution-strategies blackbox-optimization gradient-free-optimization tree-of-parzen-estimator hyperactive
  • Updated Nov 20, 2022
  • Python
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